This role pays less than
68%
of similar roles. Most pay
$193,000–$257,850
— the shaded band above.
At the midpoint, this role pays about
$200k
versus about
$225k
for comparable roles.
Based on 240 similar postings.
Employer
About JLL (Jones Lang LaSalle)
JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services
JLL (Jones Lang LaSalle) currently has
23 open roles
on FindRole.
Listed pay typically runs
$155,000–$195,000
across 18 roles with salary data.
As a Staff Product Manager, AI Developer Platform, you will join the AI Platform team to own the developer platform for all engineering services, with a specific focus on agents and MCP servers. You will lead a dedicated team of engineers and SREs to build automated production pipelines, manage dependency upgrades, and provide default observability, governance, and cost attribution for internal tools. The role requires hands-on experience in LLM and agent building, including tool calling and evaluation frameworks. You will utilize technologies such as AWS Bedrock, Kubernetes, Terraform, GitHub Actions, and Backstage to create "golden paths" for developers. Your work addresses the technical challenge of streamlining complex infrastructure tasks like authentication and deployment into unified platform capabilities, ensuring that engineering teams can move from initial ideas to production-ready agents in a matter of days.
What does a Product Manager earn in Illinois?
Median $193000 from 83 postings across 13 companies.
Own the developer platform for all internal engineering services including CI/CD, dependency management, and developer portals.
Build automated creation, UAT, and production pipelines specifically optimized for MCP servers and AI agents.
Integrate observability, governance, tracing, and cost attribution into the standard deployment pipeline by default.
Identify friction points in the developer experience to transform them into scalable platform capabilities.
Manage a dedicated team of engineers and SREs to deliver high-quality infrastructure and tooling.
Write technical specifications, prototypes, and code while directing the engineering roadmap for the AI platform.
Ensure all internal services remain current with necessary package updates and skill transitions automatically.
What we're looking for
Must have 8+ years in product management or technical product leadership on platform, infrastructure, or developer-tooling products at the Staff IC level.
Must have hands-on experience building LLMs and agents, including MCP and tool calling.
Must have a track record of creating platforms that developers choose to use.
Must possess expertise in CI/CD, infrastructure-as-code, cloud runtime trade-offs, and internal engineering tooling like GitHub Actions and developer portals.
Must be able to hold technical positions with architects and security under pressure.
Must have experience working in a large, distributed, global company.
Preferred experience includes AWS (Bedrock), Kubernetes, Terraform, or GitOps SDLC and architecture-governance processes.
Preferred experience includes Harness, AI/DL tools, LLM observability/eval tooling, and internal developer platforms like Backstage.